Agent Registry serves as the central hub for governance and inventory for your AI ecosystem within Gemini Enterprise Agent Platform. It provides a unified catalog that lets you securely store, discover, and manage Model Context Protocol (MCP) servers, tools, and AI agents across your organization.
As you scale your AI workloads, consolidating these services in Agent Registry helps you resolve common challenges in AI deployments, such as fragmented tool access, isolated data, and redundant services, while maintaining security and access controls.
Learn more about Agent Registry
Explore the Agent Registry documentation to learn how to integrate and govern your AI resources.
Discover and get started
- Agent Registry overview : Understand the core concepts, architecture, and benefits of the registry.
- Set up Agent Registry : Enable the required API and configure IAM roles for your project.
Register your resources
- Register agents : Register agents automatically from supported runtimes or manually for custom deployments.
- Register MCP servers : Make remote MCP servers and tools discoverable to your orchestrators.
- Register endpoints : Define target destinations to centrally govern the external APIs and services that your agents can connect to.
Search and authenticate
- Search for agents and tools : Perform keyword and prefix searches to find specific capabilities across your organization.
- Authenticate to tools and resources : Use the auth manager and bindings to securely authenticate agents to discovered tools.
Integrate with ADK
- Resolve endpoints and build orchestrators : Resolve endpoints dynamically and build orchestrator agents using the Agent Development Kit (ADK).
- Register a custom ADK agent : Expose and register custom ADK agents in Agent Registry.
